We propose to characterize the above three categories of regions by multiple directional edges in local regions. The orientation histogram or histogram of oriented gradients (HOG) features are direct measure of local edge orientations. With contrast normalization and orientation binning, HOG features are robust to illumination changes and other noises, and can be used as stable local signatures in images.